# fastnc
[](https://pepy.tech/project/fastnc)
fast computation of natural components from given bispectrum.
Cite Sugiyama+2024 [arxiv](http://arxiv.org/abs/2407.01798).
## Installation
From [pip](https://pypi.org/project/fastnc/)
```
pip install fastnc
```
From [conda](https://anaconda.org/ssunao/fastnc)
```
conda install ssunao::fastnc
```
You can also install the package manually after cloning this [fastnc](https://github.com/git-sunao/fastnc) repo
```
pip install .
```
## Getting started
Tutorial notebook is available at [tutorial.ipynb](docs/tutorial.ipynb).
## Note on cache
This package create cache. The directory is at ~/.fastnc by default.
This can be changed by setting an environment variable `FASTNC_CACHE_DIR`.
Raw data
{
"_id": null,
"home_page": "https://github.com/git-sunao/fastnc",
"name": "fastnc",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "cosmology, large scale structure, three-point correlation function",
"author": "Sunao Sugiyama, Rafael Heringer Gomes",
"author_email": "sunaosugiyama@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/25/f4/c7a31b20c6f2e02edbbbf5f37adeb614c3fab7ce5e42e0d91994bf9d73a4/fastnc-1.1.22.tar.gz",
"platform": null,
"description": "# fastnc\n[](https://pepy.tech/project/fastnc)\n\nfast computation of natural components from given bispectrum.\n\nCite Sugiyama+2024 [arxiv](http://arxiv.org/abs/2407.01798).\n\n## Installation\nFrom [pip](https://pypi.org/project/fastnc/)\n```\npip install fastnc\n```\nFrom [conda](https://anaconda.org/ssunao/fastnc)\n```\nconda install ssunao::fastnc\n```\nYou can also install the package manually after cloning this [fastnc](https://github.com/git-sunao/fastnc) repo\n```\npip install .\n```\n\n## Getting started\nTutorial notebook is available at [tutorial.ipynb](docs/tutorial.ipynb).\n\n## Note on cache\nThis package create cache. The directory is at ~/.fastnc by default.\nThis can be changed by setting an environment variable `FASTNC_CACHE_DIR`. \n",
"bugtrack_url": null,
"license": null,
"summary": "fastnc package",
"version": "1.1.22",
"project_urls": {
"Homepage": "https://github.com/git-sunao/fastnc"
},
"split_keywords": [
"cosmology",
" large scale structure",
" three-point correlation function"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "5a28a549e0ad2a9ddfc10a8ecb3f310716d9d314e49f397816aea9b53f7c2046",
"md5": "25b422e59f1975110b4ded9b0fc37653",
"sha256": "c1a3dfe414cb570be3d4d3bc1e000f11c1a8672dc61dfc61f9c1ad424b030cf2"
},
"downloads": -1,
"filename": "fastnc-1.1.22-py3-none-any.whl",
"has_sig": false,
"md5_digest": "25b422e59f1975110b4ded9b0fc37653",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 49272,
"upload_time": "2024-12-11T19:08:47",
"upload_time_iso_8601": "2024-12-11T19:08:47.946695Z",
"url": "https://files.pythonhosted.org/packages/5a/28/a549e0ad2a9ddfc10a8ecb3f310716d9d314e49f397816aea9b53f7c2046/fastnc-1.1.22-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "25f4c7a31b20c6f2e02edbbbf5f37adeb614c3fab7ce5e42e0d91994bf9d73a4",
"md5": "48214b35ec5a4283dce51cd54d644295",
"sha256": "9ed91e53f4c51afb21d4b70d305a2f94b1a5186a86624a62e1a4ec9011c6e789"
},
"downloads": -1,
"filename": "fastnc-1.1.22.tar.gz",
"has_sig": false,
"md5_digest": "48214b35ec5a4283dce51cd54d644295",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 46138,
"upload_time": "2024-12-11T19:08:50",
"upload_time_iso_8601": "2024-12-11T19:08:50.281070Z",
"url": "https://files.pythonhosted.org/packages/25/f4/c7a31b20c6f2e02edbbbf5f37adeb614c3fab7ce5e42e0d91994bf9d73a4/fastnc-1.1.22.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-11 19:08:50",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "git-sunao",
"github_project": "fastnc",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "numpy",
"specs": []
},
{
"name": "scipy",
"specs": []
},
{
"name": "astropy",
"specs": []
},
{
"name": "pandas",
"specs": []
},
{
"name": "mpi4py",
"specs": []
}
],
"lcname": "fastnc"
}